“…Crop yields are one of the most utilized indicators of the impact of weather during the growing season, and county, state, and national yields have been extensively used to evaluate weather effects through statistical and simulation models. An example of statistical analysis approaches are provided in Runge (1968), Muchow et al (1990), Lobell (2007, Lobell and Field (2007), and Hatfield et al (2011) in which different parameters, e.g., temperature, precipitation, or solar radiation, have been related to the variation in crop yield among years. The use of simulation models to assess future effects of projected climate has been reported in Lobell et al (2006) and Hatfield et al (2011), and there are ample references detailing the utility of different methods.…”